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Forecasting inflation from the term structure

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  • Kai Carstensen

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  • Julia Hawellek

Abstract

In this paper the authors analyze the forecasting ability of the term structure with respect to future inflation in Germany. In contrast to previous studies, they find evidence in favor of a nonstationary term premium. Assuming that the nonstationary part of the term premium can be approximated by an observable factor, they derive testable restrictions which cannot be rejected for German data. In an out-of-sample forecasting experiment, the model out-performs rival models which assume a constant term premium. Nevertheless, the authors find that the forecasting ability of the term structure is limited while the real interest rate is revealed as a good predictor for future inflation rates.
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(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Kai Carstensen & Julia Hawellek, 2003. "Forecasting inflation from the term structure," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 139(2), pages 306-323, June.
  • Handle: RePEc:spr:weltar:v:139:y:2003:i:2:p:306-323
    DOI: 10.1007/BF02659747
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    References listed on IDEAS

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    1. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    2. Mishkin, Frederic S., 1990. "What does the term structure tell us about future inflation?," Journal of Monetary Economics, Elsevier, vol. 25(1), pages 77-95, January.
    3. Lucas, André, 1995. "Unit Root Tests Based on M Estimators," Econometric Theory, Cambridge University Press, vol. 11(02), pages 331-346, February.
    4. Tzavalis, Elias & Wickens, M. R., 1996. "Forecasting inflation from the term structure," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 103-122, May.
    5. Hall, Anthony D & Anderson, Heather M & Granger, Clive W J, 1992. "A Cointegration Analysis of Treasury Bill Yields," The Review of Economics and Statistics, MIT Press, vol. 74(1), pages 116-126, February.
    6. Hansen, Gerd & Kim, Jeong-Ryeol & Mittnik, Stefan, 1998. "Testing cointegrating coefficients in vector autoregressive error correction models," Economics Letters, Elsevier, vol. 58(1), pages 1-5, January.
    7. repec:cup:etheor:v:11:y:1995:i:2:p:331-46 is not listed on IDEAS
    8. Seo, Byeongseon, 1999. "Distribution theory for unit root tests with conditional heteroskedasticity1," Journal of Econometrics, Elsevier, vol. 91(1), pages 113-144, July.
    9. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
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    Cited by:

    1. Hassan Shareef & Santhakumar Shijin, 2016. "Expectations Hypothesis and Term Structure of Interest Rates: An Evidence from Emerging Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 23(2), pages 137-152, June.
    2. Jesús Crespo Cuaresma & Ernest Gnan & Doris Ritzberger-Grünwald, 2005. "The term structure as a predictor of real activity and inflation in the euro area: a reassessment," BIS Papers chapters,in: Bank for International Settlements (ed.), Investigating the relationship between the financial and real economy, volume 22, pages 177-92 Bank for International Settlements.
    3. Li, Matthew C., 2016. "US term structure and international stock market volatility: The role of the expectations factor and the maturity premium," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 1-15.

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    Keywords

    Inflation forecast; term premium; cointegration;

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